Tilmann Glimm

1.1k citations
34 papers · 879 · h-index 16

Impact in

Papers in

Tilmann Glimm

33 papers receiving 840 citations

Peers

Tilmann Glimm
Comparison fields: 5 of 109
  • Modeling and Simulation 157
  • Cell Biology 289
  • Developmental Biology 14
  • Molecular Biology 400
  • Computer Graphics and Computer-Aided Design 20
Replace Robert H. Dillon with:
Robert H. Dillon United States
Steven R. Dunbar United States
Thomas E. Woolley United Kingdom
Gilberto L. Thomas Brazil
José C. M. Mombach Brazil
Frederic Y. M. Wan United States
Mary Ruth Myerscough Australia
Shuji Ishihara Japan
Angela Stevens Germany
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Citations per year

Countries citing papers authored by Tilmann Glimm

Since Specialization
Citations

This map shows the geographic impact of Tilmann Glimm's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tilmann Glimm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tilmann Glimm more than expected).

Fields of papers citing papers by Tilmann Glimm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tilmann Glimm. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tilmann Glimm. The network helps show where Tilmann Glimm may publish in the future.

Co-authors

The 25 scholars most cited alongside Tilmann Glimm, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tilmann Glimm Line = papers co-authored together Tilmann Glimm links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004114
2 2005107
3 200599
4 200397
5 200655
6 200749
7 200749
8 200444
9 201329
10 200428
11 200726
12 201119
13 201819
14 201918
15 201616
16 201916
17 201214
18 200912
19 20209
20 20217

About Tilmann Glimm

Tilmann Glimm is a scholar working on Cell Biology, Modeling and Simulation, Molecular Biology, Geometry and Topology and Computer Networks and Communications, having authored 34 papers that have together received 879 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (17 papers), Mathematical Biology Tumor Growth (10 papers), Developmental Biology and Gene Regulation (8 papers), Gene Regulatory Network Analysis (6 papers), Nonlinear Dynamics and Pattern Formation (6 papers), RNA Research and Splicing (5 papers), Wnt/β-catenin signaling in development and cancer (3 papers) and Morphological variations and asymmetry (2 papers). The work is most often cited by research in Modeling and Simulation (157 citations), Cell Biology (289 citations), Developmental Biology (14 citations), Molecular Biology (400 citations) and Computer Graphics and Computer-Aided Design (20 citations). Tilmann Glimm has collaborated with scholars based in United States, India and Poland. Frequent co-authors include Stuart A. Newman, H. G. E. Hentschel, Vladimir I. Oliker, Mark Alber, James A. Glazier, Bogdan Kaźmierczak, Ramray Bhat, Jesús A. Izaguirre, Rajiv R Chaturvedi and Trevor Cickovski. Their work appears in journals such as PeerJ, Nonlinearity, Mathematical Biosciences, International Journal of Bifurcation and Chaos and Bulletin of Mathematical Biology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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